Sentence examples for statistic percentage from inspiring English sources

The R statistic (percentage of explained variation) is approximately 5% higher for QRISK2 in both men and women compared with the NICE adjusted Framingham equation.

Between-population heterogeneity was assessed by using the Durbin test and calculating the I statistic (percentage of total variation across studies that is due to heterogeneity rather than to chance).

The R statistic (percentage of explained variation) is similar for QRISK2-2011 and QRISK2-2010 in men and women aged 30 to 84 years, indicating no change in performance of the newer QRISK2 model.

3 The R statistic (percentage of explained variation) was about 4% higher for the osteoporotic fracture score in women and 8% higher in men compared with the internal validation performance data.

The R statistic (percentage of explained variation) is higher for QRISK in both men and women (31.7% and 36.6% respectively) compared with the next best model, the Cox Framingham equation (29.5% and 32.3% respectively).

Heterogeneity was assessed by visual inspection of the forrest plot, the Cochran's χ test (using a 10% significance level) and interpretation of the I statistic (percentage of variation due to heterogeneity with higher values indicating a greater degree of heterogeneity) (Deeks et al, 2004).

Statistical analysis Spearman rank order correlation, κ statistic, and percentage agreement were used for both reproducibility and the validation.

Attention has focused on a crucial statistic: the percentage of graduates who are employed nine months after graduation.

It would be nice to add a statistic like percentage of games won in which a player has at least one break point.

"In particular, the crude focus on a single summary statistic (the percentage of five A*-Cs) has forced the profession to concentrate on hitting that benchmark because of the dire consequences of failing to achieve that magic number".

Heterogeneity (variability) among the study effect estimates was to be assessed using a Chi squared test at a 5% significance level and the I-squared (I 2) statistic, the percentage of between-study variability that is due to true differences between studies (heterogeneity) rather than due to sampling error.